This article comprehensively surveys the development of trajectory data classification.
Considering the critical role of trajectory data classification in modern intelligent systems for …

Trajectory classification, ie, model construction for predicting the class labels of moving
objects based on their trajectories and other features, has many important, real-world …

In trajectory classification tasks, the challenge is to find the subtrajectories or a set of
features that better discriminate the class. However, there is a lack of robustness in existing …

This paper comprehensively surveys the development of trajectory clustering. Considering
the critical role of trajectory data mining in modern intelligent systems for surveillance …

The advances in location-acquisition and mobile computing techniques have generated
massive spatial trajectory data, which represent the mobility of a diversity of moving objects …

The ubiquity of GPS-enabled smartphones and automotive navigation systems connected to
the Internet allows us to monitor, collect, and analyze large trajectory data streams in real …

Several methods for trajectory classification build models exploring trajectory global
features, such as the average and the standard deviation of speed and acceleration, but for …

Trajectory classification has many useful applications. Existing works on trajectory
classification do not consider the duration information of trajectory. In this paper, we extract …

Nowadays, the increasing number of moving objects tracking sensors, results in the
continuous flow of high-frequency and high-volume data streams. This phenomenon can …

Society is rapidly accepting the use of video cameras in many new and varied locations, but
effective methods to utilize and manage the massive resulting amounts of visual data are …